<p>In the English data sets, the capitalized term rapidly surpasses the uncapitalized term in the 1960s. For the first English Fiction data set, this effect is delayed until the 1970s. As shown later, only the second version of the English Fiction data set demonstrates a filtering of scientific terminology. These trends strongly suggest an increase starting around 1900 in the sampling of scientific texts in both English data sets and the first English Fiction data set.</p
We report here trends in the usage of “mood” words, that is, words carrying emotional content, in 20...
In this Perspective Article we assess the usefulness of Google’s new word frequencies for word recog...
<div><p>We report here trends in the usage of “mood” words, that is, words carrying emotional conten...
<p>In the unfiltered data set, these technical terms appear frequently and increase in usage though ...
<div><p>It is tempting to treat frequency trends from the Google Books data sets as indicators of th...
It is tempting to treat frequency trends from the Google Books data sets as indicators of the "true"...
It is tempting to treat frequency trends from the Google Books data sets as indicators of the “true ...
<p>A Google ngram [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.100618...
Fiction has come to play an essential part in human culture and life in recent centuries. Because of...
<p>The dashed and solid curves denote the 2009 and 2012 versions of the data sets. In all four examp...
Google Ngram trends can be misleading but capture basic shifts in a language’s lexicon [7, 8]. The i...
Here, we test Neutral models against the evolution of English word frequency and vocabulary at the c...
© 2016 by De Gruyter Mouton 2016. This paper is concerned with the limitations of inferring grammar ...
We analyze the occurrence frequencies of over 15 million words recorded in millions of books publish...
Here we test Neutral models against the evolution of English word frequency and vocabulary at the po...
We report here trends in the usage of “mood” words, that is, words carrying emotional content, in 20...
In this Perspective Article we assess the usefulness of Google’s new word frequencies for word recog...
<div><p>We report here trends in the usage of “mood” words, that is, words carrying emotional conten...
<p>In the unfiltered data set, these technical terms appear frequently and increase in usage though ...
<div><p>It is tempting to treat frequency trends from the Google Books data sets as indicators of th...
It is tempting to treat frequency trends from the Google Books data sets as indicators of the "true"...
It is tempting to treat frequency trends from the Google Books data sets as indicators of the “true ...
<p>A Google ngram [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.100618...
Fiction has come to play an essential part in human culture and life in recent centuries. Because of...
<p>The dashed and solid curves denote the 2009 and 2012 versions of the data sets. In all four examp...
Google Ngram trends can be misleading but capture basic shifts in a language’s lexicon [7, 8]. The i...
Here, we test Neutral models against the evolution of English word frequency and vocabulary at the c...
© 2016 by De Gruyter Mouton 2016. This paper is concerned with the limitations of inferring grammar ...
We analyze the occurrence frequencies of over 15 million words recorded in millions of books publish...
Here we test Neutral models against the evolution of English word frequency and vocabulary at the po...
We report here trends in the usage of “mood” words, that is, words carrying emotional content, in 20...
In this Perspective Article we assess the usefulness of Google’s new word frequencies for word recog...
<div><p>We report here trends in the usage of “mood” words, that is, words carrying emotional conten...